Rahmenbedingungen der Vaterschaft auf Mikro-, Meso- und Makroebene - unter Berücksichtigung des Wandels

Die Auseinandersetzung mit der historischen Entwicklung der Familie zeigt den deutlichen Wandel der Vaterschaft auf, der stattgefunden hat - und stattfindet. Dieser Wandel spiegelt sich in der Forschung wider. Dabei sticht heraus, daß am Anfang der Väterforschung defizitäre Zuschreibungen („abwesende Väter“) im Vordergrund standen, während in aktuellen Studien die Involviertheit des Vaters („neue Väter“) besonders betont wird. Trotz zahlreicher Untersuchungen wird in der aktuellen Väterforschung das Fehlen eines eigenen theoretischen Rahmens bemängelt. KritikerInnen zeigen die Notwendigkeit auf gesellschaftliche Systeme, die Vaterschaft unterstützen oder behindern, miteinzubeziehen. Auf diese Kritikpunkte wird in dieser Arbeit ein besonderes Augenmerk gelegt: Es wird ein theoretisches Modell erstellt, das die Rahmenbedingungen der Vaterschaft belegt. In diesem Modell werden die Bedingungen mittels der Mikro-, Meso- und Makroanalyse untersucht. Dabei stehen in der Mikroebene Veränderungen zu Familie, Partnerschaft und Elternschaft, in der Mesoebene steht der Einfluss von Organisationsstrukturen und in der Makroebene Strukturen der Familienpolitik, im Vordergrund. Darüber hinaus wird anhand konkreter Fragestellungen die Möglichkeit der Durchführung des Modells in der Praxis erörtert.Analysing the historical evolution of family shows that change of fathering took place and still does, as it has been demonstrated in researches. As a matter of fact, the latter strongly focused on the absence of fathers whereas recent researches mainly underline the father´s involvement. In spite of a number of analyses, it is nowadays established that there is a lack of an adequate theoretical concept. Critics recommend to examine the social conditions supporting or obstructing fathering in future surveys: Accordingly, what is investigated in this work is the creation of a model of fathering that takes these conditions into account. Therefor, fathering is examined using the micro-, meso- and makroanalysis. In the microlevel change of family, partnership and parents are investigated. The influence of organizational structures on fathering is discussed in the mesolevel. Changes in family policy and their effects are elaborated in the macrolevel. Moreover, along with the construction of this model, practical implements are put forward

Advancing Research Data Management in Universities of Science and Technology

The white paper ‘Advancing Research Data Management in Universities of Science and Technology’ shares insights on the state-of-the-art in research data management, and recommendations for advancement. A core part of the paper are the results of a survey, which was distributed to our member institutions in 2019 and addressed the following aspects of research data management (RDM): (i) the establishment of a RDM policy at the university; (ii) the provision of suitable RDM infrastructure and tools; and (iii) the establishment of RDM support services and trainings tailored to the requirements of science and technology disciplines. The paper reveals that while substantial progress has been made, there is still a long way to go when it comes to establishing “advanced-degree programmes at our major universities for the emerging field of data scientist”, as recommended in the seminal 2010 report ‘Riding the Wave’, and our white paper offers concrete recommendations and best practices for university leaders, researchers, operational staff, and policy makers. The topic of RDM has become a focal point in many scientific disciplines, in Europe and globally. The management and full utilisation of research data are now also at the top of the European agenda, as exemplified by Ursula von der Leyen addressat this year’s World Economic Forum.However, the implementation of RDM remains divergent across Europe. The white paper was written by a diverse team of RDM specialists, including data scientists and data stewards, with the work led by the RDM subgroup of our Task Force Open Science. The writing team included Angelina Kraft (Head of Lab Research Data Services at TIB, Leibniz University Hannover) who said: “The launch of RDM courses and teaching materials at universities of science and technology is a first important step to motivate people to manage their data. Furthermore, professors and PIs of all disciplines should actively support data management and motivate PhD students to publish their data in recognised digital repositories.” Another part of the writing team was Barbara Sanchez (Head of Centre for Research Data Management, TU Wien) and Malgorzata Goraczek (International Research Support / Data Management Support, TU Wien) who added:“A reliable research data infrastructure is a central component of any RDM service. In addition to the infrastructure, proper RDM is all about communication and cooperation. This includes bringing tools, infrastructures, staff and units together.” Alastair Dunning (Head of 4TU.ResearchData, Delft University of Technology), also one of the writers, added: “There is a popular misconception that better research data management only means faster and more efficient computers. In this white paper, we emphasise the role that training and a culture of good research data management must play.